Data Engineer – fully remote, 5am-2pm CEST

🕒 August 10

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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JobLeads

WebsiteLinkedInAll Job Openings

51 - 200 employees

🎯 Recruiter

👥 HR Tech

Recruitment • HR Tech

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📋 Description

• Monitor overnight processing, resolve failures, and hand a healthy platform to the European team each morning • Maintain Airflow DAGs and Python jobs across Windows and Linux VMs, including failed tasks, backfills, and dependencies • Investigate and fix recurring issues in the on-premises Microsoft SQL Server environment • Use linked servers, OPENQUERY, and PolyBase for cross-system access • Identify data quality gaps such as stale feeds, broken joins, and changing source systems, and resolve them with data owners • Model new source domains into the warehouse and build usable analyst data models • Build automated data quality gates for freshness, volume, referential integrity, and business rules • Tune SQL queries, stored procedures, indexes, and execution plans • Improve alerting, logging, runbooks, and automation to prevent recurring incidents • Review AI-generated SQL and pipeline code and build tests before production deployment • Collaborate with BI, analytics, and data-owning teams across the company

🎯 Requirements

• 3+ years of core data engineering experience in a production environment • Stellar T-SQL and Microsoft SQL Server optimization expertise, including indexing strategies, execution plans, query tuning, and partitioning • Experience with linked servers, OPENQUERY, and PolyBase • Ability to design warehouse tables and dimensional data models • Strong Python skills for pipelines, transformation, and automation • Production Airflow experience authoring, operating, and debugging DAGs, including scheduling, retries, backfills, dependencies, and task-failure tracing • Hands-on experience with Claude Code or a comparable agentic coding tool, MCP servers, and LLM-powered workflows • Ability to verify AI-generated SQL and pipeline code by reading queries, reviewing execution plans, and validating outputs against source data • Git and GitLab experience with branching, merge requests, code review, and CI/CD pipelines • Ability to debug on Windows and Linux VMs • Working knowledge of Azure or AWS • Clear English communication • Availability to work consistently from 5am–2pm CEST in a timezone where these are normal daytime hours, roughly GMT+4 to GMT+8 • Microsoft Fabric experience, custom MCP servers or internal LLM tooling, Power BI or another BI tool, and B2C/subscription-business experience are nice to have

🏖️ Benefits

• Remote-first collaboration across a truly global team • EU meet-ups • Annual company summer getaway • Clear, predictable working hours designed around 5am–2pm CEST • Real ownership of the operational layer • AI tooling used in real production • Culture valuing clarity, structure, and long-term thinking • Close collaboration with BI, analytics, and data-owning teams